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Real-Time Operational Intelligence Earns Momentum
Teradata (News - Alert) Corporation, a global company specializing in enterprise data warehousing, recently announced that active data warehousing, a term used synonymously with real-time operational intelligence, is gaining momentum among organizations across Europe. Research shows that the adoption of leading-edge technologies such as web analytics and integrated web intelligence is rising.
An active data warehouse provides strategic and tactical intelligence throughout the enterprise, enabling hundreds of front-line employees to make smarter, competitive decisions through information access, analysis and predictive analytics. According to a new IDC (News - Alert) white paper sponsored by Teradata(1), 26 percent of responding organizations in various industries across Europe are using active data warehousing.
The primary factors driving the need for real-time intelligence are increased competition, deregulation and reregulation for compliance reasons across industries, sectors and organizations evaluated in IDC's research. Business intelligence and data warehousing provide the technological capabilities to automate and support decision-making processes.
According to Martin Willcox, director, platform and solutions marketing, Europe Middle East & Africa, in today's business environment, a broad range of users from the executive level to call center agents have urgent information needs that can only be satisfied by comparing data that describe the current versus the past. Martin said that this requirement loads data in real-time, combines it with large volumes of historical data and then produces meaningful insight in seconds or even milliseconds.
Most organizations currently operate in a 24X7 environment, with an increasing need for decision support in real time. Monitored events, the executive brief indicates, are related to financial management.
Martin Willcox, Director of Architecture Services, Teradata said that high-performance database technology supports the deployment of any event-driven solution and Teradata's parallel database technology is widely acknowledged to be the best in the industry.
Across the worldwide web, huge volumes of data are structured very differently from information in relational databases. By extracting significant words and phrases from sources such as email, customer satisfaction surveys, call center interactions and social web applications like message boards and blogs, Text mining technology helps to make the data more useable. As these technologies are becoming important for capturing customer sentiments, they need to better interoperate with customer relationship management applications to enhance dynamic customer profiles.
Carolyn John is a Contributor to TMCnet. To read more of her articles, please columnist page.
Edited by Marisa Torrieri

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